Package: lavaan.shiny
Type: Package
Title: Latent Variable Analysis with Shiny
Version: 1.1
Date: 2016-06-23
Author: W. Kyle Hamilton <kyle.hamilton@gmail.com>
Maintainer: W. Kyle Hamilton <kyle.hamilton@gmail.com>
Description: Interactive shiny application for working with different kinds of
latent variable analysis, with the 'lavaan' package. Graphical output for models
are provided and different estimators are supported.
License: GPL-3
URL: https://github.com/kylehamilton/lavaan.shiny
Depends: R (>= 3.0.3)
Imports: shiny, shinyAce, psych, lavaan, semPlot
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-06-24 01:09:01 UTC; hcilab
Repository: CRAN
Date/Publication: 2016-06-24 07:30:45
Package: lavaan.survey
Type: Package
Title: Complex Survey Structural Equation Modeling (SEM)
Version: 1.1.3
Date: 2015-11-03
Author: Daniel Oberski
Maintainer: Daniel Oberski <daniel.oberski@gmail.com>
Description: Fit structural equation models (SEM) including factor analysis,
multivariate regression models with latent variables and many other latent
variable models while correcting estimates, standard errors, and
chi-square-derived fit measures for a complex sampling design.
Incorporate clustering, stratification, sampling weights, and
finite population corrections into a SEM analysis.
Wrapper around packages lavaan and survey.
Depends: R (>= 2.14.0), lavaan (>= 0.5-20), survey (>= 3.30-3)
Imports: MASS
License: GPL (>= 2)
URL: http://daob.nl/
Suggests: testthat, mice, mitools
NeedsCompilation: no
Packaged: 2015-11-09 09:13:04 UTC; daob
Repository: CRAN
Date/Publication: 2015-11-09 11:34:18
Package: lawstat
Type: Package
Title: Tools for Biostatistics, Public Policy, and Law
Version: 3.0
Date: 2015-07-07
Author: (in alphabetical order)
Joseph L. Gastwirth <jlgast@gwu.edu>;
Yulia R. Gel <ygl@utdallas.edu>;
W. L. Wallace Hui <wlwhui@uwaterloo.ca>;
Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>;
Weiwen Miao <miao@macalester.edu>;
Kimihiro Noguchi <kinoguchi@ucdavis.edu>
Maintainer: Vyacheslav Lyubchich <lyubchic@cbl.umces.edu>
Depends: R (>= 2.6.0), Hmisc, Kendall, mvtnorm, VGAM
Suggests: fBasics
License: GPL (>= 2)
Description: Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness,
measures of relative variability etc, the package contains new robust tests of symmetry,
omnibus and directional tests of normality, and their graphical counterparts such as
Robust QQ plot; a robust trend tests for variances etc. All implemented tests and methods
are illustrated by simulations and real-life examples from legal statistics, economics,
and biostatistics.
NeedsCompilation: no
Packaged: 2015-07-07 14:20:21 UTC; Slava
Repository: CRAN
Date/Publication: 2015-07-07 18:10:55
Package: lazyData
Type: Package
Title: A LazyData Facility
Version: 1.0.3
Date: 2014-01-30
Author: Bill Venables
Maintainer: Bill Venables <bill.venables@gmail.com>
Description: Supplies a LazyData facility for packages which have data
sets but do not provide LazyData. A single function is
is included, requireData, which is a drop-in replacement for
base::require, but carrying the additional
functionality. By default, it suppresses package
startup messages as well. See argument 'reallyQuitely'.
Depends: R (>= 2.15.0)
Imports: utils
Suggests: mgcv
License: GPL-2
Packaged: 2014-01-29 02:57:56 UTC; bill
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-29 18:47:08
Package: lazyWeave
Type: Package
Title: LaTeX Wrappers for R Users
Version: 3.0.1
Date: 2016-01-08
Author: Benjamin Nutter
Maintainer: Benjamin Nutter <nutter@battelle.org>
Description: Provides the functionality to write LaTeX code from within R
without having to learn LaTeX. Functionality also exists to create HTML
and Markdown code. While the functionality still exists to write
complete documents with lazyWeave, it is generally easier to do so with
with markdown and knitr. lazyWeave's main strength now is the ability
to design custom and complex tables for reporting results.
License: GPL
LazyLoad: yes
Depends: R (>= 2.10.0)
Imports: Hmisc (>= 3.14-6)
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-01-08 14:26:22 UTC; Nutter
Repository: CRAN
Date/Publication: 2016-01-09 14:45:25
Package: lazy
Version: 1.2-15
Date: $Date: 2013/09/20 15:32:14 $
Title: Lazy Learning for Local Regression
Author: Mauro Birattari <mbiro@ulb.ac.be> and Gianluca Bontempi
<gbonte@ulb.ac.be>
Maintainer: Liran Lerman <llerman@ulb.ac.be>
Description: By combining constant, linear, and quadratic local models,
lazy estimates the value of an unknown multivariate function on
the basis of a set of possibly noisy samples of the function
itself. This implementation of lazy learning automatically
adjusts the bandwidth on a query-by-query basis through a
leave-one-out cross-validation.
License: GPL (>= 2)
URL: http://iridia.ulb.ac.be/~lazy
Repository: CRAN
Packaged: 2013-09-20 18:18:14 UTC; user
NeedsCompilation: yes
Date/Publication: 2013-09-22 17:33:04
providing 
.